Hello I am currently trying to build a network which can run the response inhibition Stop-Signal task. I have the following code where I have connected a BG and thal model with some “cortical areas”, however, does anyone know how I can (1) feed in specific trials (go or go+stop signal with some delay)? (2) I need to make sure the projections from the cortical areas I mentioned are excitatory in nature, how can I go about doing that?
model = nengo.Network()
bg = nengo.networks.BasalGanglia(dimensions=1) # Provide tonic
# inhibition of thalamic outputs that facilitate motor cortical areas
tha = nengo.networks.Thalamus(dimensions=1)
cortex = nengo.Network() with cortex: M1 = nengo.Network() with M1: M1ens = nengo.Ensemble(n_neurons=100, dimensions=1) SensoryInfo = nengo.Network() with SensoryInfo: pre_SMA = nengo.Ensemble(n_neurons=100, dimensions=1) rIFC = nengo.Ensemble(n_neurons=100, dimensions=1) output = nengo.Node(size_in=1) nengo.Connection(pre_SMA, output) nengo.Connection(rIFC, output) nengo.Connection(tha.actions.output, M1ens) # nengo.Connection(SensoryInfo.output, bg.STN.output) # fix this connectoin nengo.Connection(bg.output, tha.actions.input) nengo.Connection(output, bg.input)